keras - TypeError:'int'对象不可迭代

Question

我试图测试一个网络,但似乎有一个恼人的错误,我不太清楚我理解.

import keras
from keras.models import Sequential
from keras.optimizers import SGD
from keras.layers.core import Dense, Activation, Lambda, Reshape,Flatten
from keras.layers import Conv1D,Conv2D,MaxPooling2D, MaxPooling1D, Reshape
from keras.utils import np_utils
from keras.models import Model
from keras.layers import Input, Dense
from keras.layers import Dropout
from keras import backend as K
from keras.callbacks import ReduceLROnPlateau
from keras.callbacks import CSVLogger
from keras.callbacks import EarlyStopping
from keras.layers.merge import Concatenate
from keras.callbacks import ModelCheckpoint
import random
import numpy as np


window_height = 8
filter_size=window_height
pooling_size = 28
stride_step = 2


def fws():


    np.random.seed(100)
    input = Input(5,window_height,1)
    shared_conv = Conv2D(filters = 1, kernel_size = (0,window_height,1))
    output = shared_conv(input)
    print output.shape


fws()

错误信息:

File "experiment.py", line 34, in <module>
   fws()
 File "experiment.py", line 29, in fws
   input = Input(5,window_height,1)
 File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1426, in Input
   input_tensor=tensor)
 File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
   return func(*args, **kwargs)
 File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1321, in __init__
   batch_input_shape = tuple(batch_input_shape)
TypeError: 'int' object is not iterable

为什么我会收到此错误？

我在网络中试图使用共享卷积层,代码说明,并且为了测试目的,想看看输出变成了什么？

Answer 1

你的行:

input = Input(5,window_height,1)

给出了这个错误.将此与keras的示例进行比较:https://keras.io/getting-started/functional-api-guide/

inputs = Input(shape=(784,))

该Input对象期望迭代,shape但你传递了它int.在示例中,您可以看到它们如何绕过1维输入.